How to save the string, one word per column in Python? - python

I'm scraping the names of massage therapists along with their addresses from a directory. The addresses are all being saved into the CSV in one column for the whole string, but the title/name of each therapist is being saved one word per column over 2 or 3 columns.
What do I need to do in order to get the string that's being extracted to save in one column, like the addresses are being saved? (The top two lines of code are example html from the page, the next set of code is the extract from the script targeting this element)
<span class="name">
<img src="/images/famt-placeholder-sm.jpg" class="thumb" alt="Tiffani D Abraham"> Tiffani D Abraham</span>
import mechanize
from lxml import html
import csv
import io
from time import sleep
def save_products (products, writer):
for product in products:
for price in product['prices']:
writer.writerow([ product["title"].encode('utf-8') ])
writer.writerow([ price["contact"].encode('utf-8') ])
writer.writerow([ price["services"].encode('utf-8') ])
f_out = open('mtResult.csv', 'wb')
writer = csv.writer(f_out)
links = ["https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY","https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=2&PageSize=10","https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=3&PageSize=10","https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=4&PageSize=10","https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=5&PageSize=10","https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=6&PageSize=10","https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=7&PageSize=10", "https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=8&PageSize=10", "https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=9&PageSize=10", "https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=10&PageSize=10" ]
br = mechanize.Browser()
for link in links:
print(link)
r = br.open(link)
content = r.read()
products = []
tree = html.fromstring(content)
product_nodes = tree.xpath('//ul[#class="famt-results"]/li')
for product_node in product_nodes:
product = {}
price_nodes = product_node.xpath('.//a')
product['prices'] = []
for price_node in price_nodes:
price = {}
try:
product['title'] = product_node.xpath('.//span[1]/text()')[0]
except:
product['title'] = ""
try:
price['services'] = price_node.xpath('./span[2]/text()')[0]
except:
price['services'] = ""
try:
price['contact'] = price_node.xpath('./span[3]/text()')[0]
except:
price['contact'] = ""
product['prices'].append(price)
products.append(product)
save_products(products, writer)
f_out.close()


I'm not positive if this solves the issue you were having, but either way there are a few improvements and modifications you might be interested in.
For example, since each link varies by a page index you can loop through the links easily rather than copying all 50 down to a list. Each therapist per page also has their own index, so you can also loop through the xpaths for each therapist's information.
#import modules
import mechanize
from lxml import html
import csv
import io
#open browser
br = mechanize.Browser()
#create file headers
titles = ["NAME"]
services = ["TECHNIQUE(S)"]
contacts = ["CONTACT INFO"]
#loop through all 50 webpages for therapist data
for link_index in range(1,50):
link = "https://www.amtamassage.org/findamassage/results.html?match=exact&l=NY&PageIndex=" + str(link_index) + "&PageSize=10"
r = br.open(link)
page = r.read()
tree = html.fromstring(page)
#loop through therapist data for each therapist per page
for therapist_index in range(1,10):
#store names
title = tree.xpath('//*[#id="content"]/div[2]/ul[1]/li[' + str(therapist_index) + ']/a/span[1]/text()')
titles.append(" ".join(title))
#store techniques and convert to unicode
service = tree.xpath('//*[#id="content"]/div[2]/ul[1]/li[' + str(therapist_index) + ']/a/span[2]/text()')
try:
services.append(service[0].encode("utf-8"))
except:
services.append(" ")
#store contact info and convert to unicode
contact = tree.xpath('//*[#id="content"]/div[2]/ul[1]/li[' + str(therapist_index) + ']/a/span[3]/text()')
try:
contacts.append(contact[0].encode("utf-8"))
except:
contacts.append(" ")
#open file to write to
f_out = open('mtResult.csv', 'wb')
writer = csv.writer(f_out)
#get rows in correct format
rows = zip(titles, services, contacts)
#write csv line by line
for row in rows:
writer.writerow(row)
f_out.close()
The script loops through all 50 links on the provided webpage, and seems to be scraping all relevant information for each therapist if provided. Finally, it prints all the data to a csv with all data stored under respective columns for 'Name', 'Technique(s)', and 'Contact Info' if this is what you were originally struggling with.
Hope this helps!

Related

Creating multiple text files with unique file names from scraped data

I took an introductory course in Python this semester and am now trying to do a project. However, I don't really know what code I should write to create multiple .txt files of which the title will be different for each file.
I scraped all the terms and definitions from the website http://www.hogwartsishere.com/library/book/99/. Title of the .txt file should for example be 'Aconite.txt' and the content of the file should be the title and the definition. Every term with its definition can be found in a separate p-tag and the term itself is a b-tag withing the p-tag. Can I use this to write my code?
I suppose I will need to use a for-loop for this, but I don't really know where to start. I searched StackOverflow and found several solutions, but all of them contain code I am not familiar with and/or relate to another issue.
This is what I have so far:
#!/usr/bin/env/ python
import requests
import bs4
def download(url):
r = requests.get(url)
html = r.text
soup = bs4.BeautifulSoup(html, 'html.parser')
terms_definition = []
#for item in soup.find_all('p'): #beter definiëren
items = soup.find_all("div", {"class" : "font-size-16 roboto"})
for item in items:
terms = item.find_all("p")
for term in terms:
#print(term)
if term.text is not 'None':
#print(term.text)
#print("\n")
term_split = term.text.split()
print(term_split)
if term.text != None and len(term.text) > 1:
if '-' in term.text.split():
print(term.text)
print('\n')
if item.find('p'):
terms_definition.append(item['p'])
print(terms_definition)
return terms_definition
def create_url(start, end):
list_url = []
base_url = 'http://www.hogwartsishere.com/library/book/99/chapter/'
for x in range(start, end):
list_url.append(base_url + str(x))
return list_url
def search_all_url(list_url):
for url in list_url:
download(url)
#write data into separate text files. Word in front of the dash should be title of the document, term and definition should be content of the text file
#all terms and definitions are in separate p-tags, title is a b-tag within the p-tag
def name_term
def text_files
path_write = os.path.join('data', name_term +'.txt') #'term' should be replaced by the scraped terms
with open(path_write, 'w') as f:
f.write()
#for loop? in front of dash = title / everything before and after dash = text (file content) / empty line = new file
if __name__ == '__main__':
download('http://www.hogwartsishere.com/library/book/99/chapter/1')
#list_url = create_url(1, 27)
#search_all_url(list_url)
Thanks in advance!

You can iterate over all pages (1-27) to get its content, then parse each page with bs4 and then save results to files:
import requests
import bs4
import re
for i in range(1, 27):
r = requests.get('http://www.hogwartsishere.com/library/book/99/chapter/{}/'.format(i)).text
soup = bs4.BeautifulSoup(r, 'html.parser')
items = soup.find_all("div", {"class": "font-size-16 roboto"})
for item in items:
terms = item.find_all("p")
for term in terms:
title = re.match('^(.*) -', term.text).group(1).replace('/', '-')
with open(title + '.txt', 'w', encoding='utf-8') as f:
f.write(term.text)
Output files:

Python - assign print output csv

I am working on a project to scrape multiple twitter URL's and assign their follower count to a csv:
username= ['LazadaPH','ZALORAPH','ShopeePH','eBayPhilippines','beauty_MNL']
for user in username:
url = 'https://www.twitter.com/'+ user
r = requests.get(url)
soup = BeautifulSoup(r.content,'lxml')
f = soup.find('li', class_="ProfileNav-item--followers")
title = f.find('a')['title']
num_followers = int(title.split(' ')[0].replace(',',''))
print(user,num_followers)
The output looks as follows:
LazadaPH 52841
ZALORAPH 29786
ShopeePH 7004
eBayPhilippines 874
beauty_MNL 2469
Since I'm quite new to python (and don't hope to be asking a redundant question): but can someone guide me to sources and tutorials of how to assign this printed output to a csv and essentialy extract it into two columns (column 1 is website string and column 2 the follower count).
Any suggestions?
Thanks a bunch!

You can use the CSV module
Ex:
import csv
with open('out.csv', 'w') as csvfile:
r = csv.writer(csvfile, delimiter=',') # ----> COMMA Seperated
for user in username:
url = 'https://www.twitter.com/'+ user
r = requests.get(url)
soup = BeautifulSoup(r.content,'lxml')
f = soup.find('li', class_="ProfileNav-item--followers")
title = f.find('a')['title']
num_followers = int(title.split(' ')[0].replace(',',''))
r.writerow([user,num_followers]) # ----> Adding Rows

Make your print statement like this:
print(user,';',num_followers)
So that it prints ';' as separator for values. Then pipe the output to a file:
python yourscript.py > yourcsv.csv

How do I web scrape the sub-headers from this link?

I've made a web scraper that scrapes data from pages that look like this (it scrapes the tables): https://www.techpowerup.com/gpudb/2/
The problem is that my program, for some reason, is only scraping the values, and not the subheaders. For instance, (click on the link), it only scrapes the "R420", "130nm", "160 million", etc. but not the "GPU Name", "Process Size", "Transistors" etc.
What do I add to the code to get it to scrape the subheaders? Here's my code:
import csv
import requests
import bs4
url = "https://www.techpowerup.com/gpudb/2"
#obtain HTML and parse through it
response = requests.get(url)
html = response.content
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
soup = bs4.BeautifulSoup(html, "lxml")
tables = soup.findAll("table")
#reading every value in every row in each table and making a matrix
tableMatrix = []
for table in tables:
list_of_rows = []
for row in table.findAll('tr'):
list_of_cells = []
for cell in row.findAll('td'):
text = cell.text.replace(' ', '')
list_of_cells.append(text)
list_of_rows.append(list_of_cells)
tableMatrix.append((list_of_rows, list_of_cells))
#(YOU CAN PROBABLY IGNORE THIS)placeHolder used to avoid duplicate data from appearing in list
placeHolder = 0
excelTable = []
for table in tableMatrix:
for row in table:
if placeHolder == 0:
for entry in row:
excelTable.append(entry)
placeHolder = 1
else:
placeHolder = 0
excelTable.append('\n')
for value in excelTable:
print value
print '\n'
#create excel file and write the values into a csv
fl = open(str(count) + '.csv', 'w')
writer = csv.writer(fl)
for values in excelTable:
writer.writerow(values)
fl.close()

if you check the page source, those cells are header cells. So they are not using TD tags but TH tags. you may want to update your loop to include TH cells alongside TD cells.

loop stuck on first page

Been using beautiful soup to iterate through pages, but for whatever reason I can't get the loop to advance beyond the first page. it seems like it should be easy because it's a text string, but it seems to loop back, maybe it's my structure not my text string?
Here's what I have:
import csv
import urllib2
from bs4 import BeautifulSoup
f = open('nhlstats.csv', "w")
groups=['points', 'shooting', 'goaltending', 'defensive', 'timeonice', 'faceoffs', 'minor-penalties', 'major-penalties']
year = ["2016", "2015","2014","2013","2012"]
for yr in year:
for gr in groups:
url = "http://www.espn.com/nhl/statistics/player/_/stat/points/year/"+str(yr)
#www.espn.com/nhl/statistics/player/_/stat/points/year/2014/
page = urllib2.urlopen(url)
soup=BeautifulSoup(page, "html.parser")
pagecount = soup.findAll(attrs= {"class":"page-numbers"})[0].string
pageliteral = int(pagecount[5:])
for i in range(0,pageliteral):
number = int(((i*40) + 1))
URL = "http://www.espn.com/nhl/statistics/player/_/stat/points/sort/points/year/"+str(yr) + "/count/"+str(number)
page = urllib2.urlopen(url)
soup=BeautifulSoup(page, "html.parser")
for tr in soup.select("#my-players-table tr[class*=player]"):
row =[]
for ob in range(1,15):
player_info = tr('td')[ob].get_text(strip=True)
row.append(player_info)
f.write(str(yr) +","+",".join(row) + "\n")
f.close()
this gets the same first 40 records over and over.
I tried using this solution as an if and did find that doing
prevLink = soup.select('a[rel="nofollow"]')[0]
newurl = "http:" + prevLink.get('href')
did work better, but I'm not sure how to do the loop in such a way that it advances? possibly just tired but my loop there still just goes to the next set of records and gets stuck on that one. please help me fix my loop
UPDATE
my formatting was lost in the copy paste, my actual code looks like:
import csv
import urllib2
from bs4 import BeautifulSoup
f = open('nhlstats.csv', "w")
groups=['points', 'shooting', 'goaltending', 'defensive', 'timeonice', 'faceoffs', 'minor-penalties', 'major-penalties']
year = ["2016", "2015","2014","2013","2012"]
for yr in year:
for gr in groups:
url = "http://www.espn.com/nhl/statistics/player/_/stat/points/year/"+str(yr)
#www.espn.com/nhl/statistics/player/_/stat/points/year/2014/
page = urllib2.urlopen(url)
soup=BeautifulSoup(page, "html.parser")
pagecount = soup.findAll(attrs= {"class":"page-numbers"})[0].string
pageliteral = int(pagecount[5:])
for i in range(0,pageliteral):
number = int(((i*40) + 1))
URL = "http://www.espn.com/nhl/statistics/player/_/stat/points/sort/points/year/"+str(yr) + "/count/"+str(number)
page = urllib2.urlopen(url)
soup=BeautifulSoup(page, "html.parser")
for tr in soup.select("#my-players-table tr[class*=player]"):
row =[]
for ob in range(1,15):
player_info = tr('td')[ob].get_text(strip=True)
row.append(player_info)
f.write(str(yr) +","+",".join(row) + "\n")
f.close()

Your code indenting was mostly at fault. Also it would be wise to actually use the CSV library you imported, this will automatically wrap the player names in quotes to avoid any commas inside from ruining the csv structure.
This works by looking for the link to the next page and extracting the starting count. This is then used to build your the next page get. If no next page can be found, it moves to the next year group. Note, the count is not a page count but a starting entry count.
import csv
import urllib2
from bs4 import BeautifulSoup
groups= ['points', 'shooting', 'goaltending', 'defensive', 'timeonice', 'faceoffs', 'minor-penalties', 'major-penalties']
year = ["2016", "2015", "2014", "2013", "2012"]
with open('nhlstats.csv', "wb") as f_output:
csv_output = csv.writer(f_output)
for yr in year:
for gr in groups:
start_count = 1
while True:
#print "{}, {}, {}".format(yr, gr, start_count) # show progress
url = "http://www.espn.com/nhl/statistics/player/_/stat/points/sort/points/year/{}/count/{}".format(yr, start_count)
page = urllib2.urlopen(url)
soup = BeautifulSoup(page, "html.parser")
for tr in soup.select("#my-players-table tr[class*=player]"):
row = [yr]
for ob in range(1, 15):
player_info = tr('td')[ob].get_text(strip=True)
row.append(player_info)
csv_output.writerow(row)
try:
start_count = int(soup.find(attrs= {"class":"page-numbers"}).find_next('a')['href'].rsplit('/', 1)[1])
except:
break
Using with will also automatically close your file at the end.
This would give you a csv file starting as follows:
2016,"Patrick Kane, RW",CHI,82,46,60,106,17,30,1.29,287,16.0,9,17,20
2016,"Jamie Benn, LW",DAL,82,41,48,89,7,64,1.09,247,16.6,5,17,13
2016,"Sidney Crosby, C",PIT,80,36,49,85,19,42,1.06,248,14.5,9,10,14
2016,"Joe Thornton, C",SJ,82,19,63,82,25,54,1.00,121,15.7,6,8,21

You are changing the URL many times before you are opening it the first time, due to an indentation error. Try this:
for gr in groups:
url = "...some_url..."
page = urllib2.urlopen(url)
...everything else should be indented....

Python, BeautifulSoup iterating through files issue

This may end up being a really novice question, because i'm a novice, but here goes.
i have a set of .html pages obtained using wget. i want to iterate through them and extract certain info, putting it in a .csv file.
using the code below, all the names print when my program runs, but only the info from the next to last page (i.e., page 29.html here) prints to the .csv file. i'm trying this with only a handful of files at first, there are about 1,200 that i'd like to get into this format.
the files are based on those here: https://www.cfis.state.nm.us/media/ReportLobbyist.aspx?id=25&el=2014 where page numbers are the id
thanks for any help!
from bs4 import BeautifulSoup
import urllib2
import csv
for i in xrange(22, 30):
try:
page = urllib2.urlopen('file:{}.html'.format(i))
except:
continue
else:
soup = BeautifulSoup(page.read())
n = soup.find(id='ctl00_ContentPlaceHolder1_lnkBCLobbyist')
name = n.string
print name
table = soup.find('table', 'reportTbl')
#get the rows
list_of_rows = []
for row in table.findAll('tr')[1:]:
col = row.findAll('td')
filing = col[0].string
status = col[1].string
cont = col[2].string
exp = col[3].string
record = (name, filing, status, cont, exp)
list_of_rows.append(record)
#write to file
writer = csv.writer(open('lob.csv', 'wb'))
writer.writerows(list_of_rows)

You need to append each time not overwrite, use a, open('lob.csv', 'wb') is overwriting each time through your outer loop:
writer = csv.writer(open('lob.csv', 'ab'))
writer.writerows(list_of_rows)
You could also declare list_of_rows = [] outside the for loops and write to the file once at the very end.
If you are wanting page 30 also you need to loop in range(22,31).

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